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Jupyter

Interactive computing across all programming languages

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Overview

What Jupyter does

Jupyter is an open-source project that provides interactive computing environments including Jupyter Notebook and JupyterLab. It supports over 40 programming languages and allows users to create documents containing live code, equations, visualizations, and narrative text for data science, machine learning, and scientific computing.

What people use it for

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Related searches

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Jupyter.

  • Notebook format makes version control and collaboration difficult with multiple contributors
  • Performance degrades with large datasets due to loading entire dataset into memory
  • Debugging capabilities limited compared to traditional IDEs
  • No paid support or commercial backing

Cross-shopped

What people choose instead of Jupyter

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Jupyter logo
    Jupyter    vs
    Python logo
    Python

    Python: Core programming language that powers Jupyter; for pure scripting without interactive notebook environment

  • Jupyter logo
    Jupyter    vs
    DataCamp logo
    DataCamp

    DataCamp: Interactive learning platform for data science with guided notebooks and structured curriculum

Capabilities

Features

  • Interactive notebooks

    Interactive notebooks capability

  • Live code execution

    Live code execution capability

  • Rich visualizations

    Rich visualizations capability

  • Markdown documentation

    Markdown documentation capability

  • Multi-language kernels

    Multi-language kernels capability

  • Python

    Integration with Python

  • R

    Integration with R

  • Julia

    Integration with Julia

  • Scala

    Integration with Scala

  • 40+ languages

    Integration with 40+ languages

  • Web support

    Available on web

  • Linux support

    Available on linux

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is Jupyter free to use?

Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.

Source
What programming languages does Jupyter support?

Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.

Source
What is JupyterLab?

JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.

Source

Behind it

Who makes Jupyter

Company
Project Jupyter
Based in
Berkeley, California
Founders
Fernando Pérez, Brian Granger, Damian Avila, Kyle Kelley, Matthias Bussonnier, Min Ragan-Kelley, Thomas Kluyver

Timeline

Jupyter over time

  1. Milestone2026-03-01

    Jupyter Notebook 6.5.0 released with enhanced interactive widgets and Python 3.13.9 support

    Source
  2. Founded2014-07-01

    Project Jupyter established as nonprofit organization, spun off from IPython to support multiple programming languages

    Source
  3. Launch2014-01-01

    Jupyter began development as evolution of IPython supporting interactive computing across all languages

    Source
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Softwr does not host reviews and shows no star rating for Jupyter, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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